Packt
Define artificial intelligence : AI, Machine Learning, Deep Learning Overview
From the section: Introduction. In this section, the learner will be introduced to the environment and working of Keras and how to set it up to go coding. A very brief introduction along with an illustration will be given to deep...
Packt
Develop an AI system to solve a real-world problem : Building Artificial Neural Networks
From the section: Predicting Sales with Supervised Learning. In this section, learners will use their first machine learning techniques, including Support Vector Machines and Artificial Neural Networks. These techniques will be applied...
Curated Video
Implement logical operations in a computer program : Logical Operators
From the section: Basics. In this section, we look into comments, variables and its types, list, tuples, dictionary, various operators, and loops in details. Logical operators are typically used with Boolean (logical) values. When they...
Curated Video
Describe computer programming : Basics of Python
From the section: Introduction to Python. In this section we look at Python's fundamental, built-in data structures, and discuss how and when to use them. This video will walk you an overview about the Python. • Go to the Python.org...
APMonitor
MATLAB Nonlinear Optimization with fmincon
This step-by-step tutorial demonstrates fmincon solver on a nonlinear optimization problem with one equality and one inequality constraint. Visit http://apmonitor.com/che263/index.php/Main/MatlabOptimization for source code.
Curated Video
Evaluate a machine learning model : Evaluate Model Performance
From the section: Regression. In this section, you are going to learn about Regression. Regression: Evaluate Model Performance
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Evaluating Machine Learning Systems with Cross-Validation
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
APMonitor
Linear and Polynomial Regression in Python
This brief tutorial demonstrates how to use Numpy and SciPy functions in Python to regress linear or polynomial functions that minimize the least squares difference between measured and predicted values. Source Code:...
APMonitor
Linear and Nonlinear Regression in Python
Polynomial or general nonlinear functions are developed with Numpy and Scipy in Python. These exercises also cover methods to create linear or spline interpolations that interpolate between data points.
APMonitor
MathCAD Graphing and Calculus
Plotting expressions is important to visualize data, relationships between variables, and perform analysis. Mathcad plotting allows visualization of variable values, functions, and data points. Included in this demonstration is common...
Packt
Positive Impact Advantages of AI : What Can AI Do for Businesses?
From the section: Getting Started with Artificial Intelligence with Python. In this section, learners are introduced to Artificial Intelligence and the libraries they will be using for the rest of the course, including NumPy, matplotlib,...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Decision Trees and Random Forests
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Curated Video
routing protocols : Types of Routing Protocols -Distance Vector, Link State
From the section: Routing Introduction. In this section, we look into Routed protocols, demonstrations, static routes, dynamic routes, and different types of routing protocols. Routing Introduction: Types of Routing Protocols -Distance...
APMonitor
Symbolic Manipulation in Python
The SymPy package computes symbolic solutions to simplify, expand, factor, differentiate, integrate, and solve equations. These problems cover a range of SymPy functions.
Curated Video
Predictive Analytics with TensorFlow 2.3: Using Information Theory in Predictive Modeling
This video will first explain you the information theory. We will then see types of entropy. We will use the information theory in Python. • Study the different types of entropy • Use information theory in Python
Curated Video
Create a machine learning model of a real-life process or object : Putting It All Together in a Professional Way
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...
Curated Video
Design a computer system using tree search and reinforcement learning algorithms : Understanding Reinforcement Learning Algorithms
From the section: Getting Started With Reinforcement Learning Using OpenAI Gym. In this section, we will introduce the basics of the reinforcement learning problem, and explain how OpenAI gym helps with developing and research solutions...
Curated Video
Discuss the importance of data : Test-Train split in Python
From the section: Simple Decision trees. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the...
Curated Video
Predictive Analytics with TensorFlow 10.1: Recommendation Systems
Recommendation systems is a subclass of information filtering system that helps predict the "rating" or "preference" based on the rating provided by users of an item. We will also see collaborative filtering and content-based filtering...
Curated Video
Discuss the importance of data : Classification tree
From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python. Simple Classification Tree:...
Curated Video
Design a computer system using tree search and reinforcement learning algorithms : The Course Overview
From the section: Getting Started With Reinforcement Learning Using OpenAI Gym. In this section, we will introduce the basics of the reinforcement learning problem, and explain how OpenAI gym helps with developing and research solutions...
Zach Star
How to Prepare For a Major (or Career) in Engineering, Math, or Science
How to Prepare For a Major (or Career) in Engineering, Math, or Science
Curated Video
Predictive Analytics with TensorFlow 7.1: Deep Learning for Better Predictive Analytics
DL is a branch of ML based on a set of algorithms that attempt to model high-level abstractions in data. In this video, we will see artificial neural networks and deep neural networks. We will also see deep neural networks architecture....
Wonderscape
Great Careers: How to Become a Computer Programmer
This video is an introduction to the world of computer programming. It explains what computer programmers do, the different coding languages they use, and the various career opportunities available in the field. It also provides...